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1.
AIDS Behav ; 26(11): 3667-3678, 2022 Nov.
Article in English | MEDLINE | ID: mdl-35687188

ABSTRACT

Persons living with HIV (PLWH) with socio-economic vulnerabilities are especially vulnerable to HIV stigma and adverse HIV outcomes. Stigma related to HIV may intersect with marginalized socio-economic conditions to negatively affect social networks. HIV stigma may limit the ability of individuals to sustain social relationships. This study examined the potential cross-sectional and longitudinal associations between HIV stigma and the quality and quantity of social networks for PLWH. PLWH (n = 1,082) who were experiencing housing, employment, and medical care-related difficulties were recruited to participate in a one-year navigation and system coordination intervention to improve housing stability and employment. Neither stigma reduction nor social networks were the main components of the intervention. A series of latent growth curves were estimated to assess the cross-sectional and longitudinal relationships among internalized and anticipated HIV stigma and social networks. Anticipated HIV stigma predicted social networks both cross-sectionally and longitudinally. Internalized HIV stigma predicted social networks cross-sectionally but not longitudinally in this population. These data support the HIV Stigma Framework and suggest that anticipated stigma seems to have a strong association with social networks. As anticipated stigma decreases over time, social network scores increase. Interventions to decrease anticipated HIV stigma as a mechanism of improving social networks warrants further investigation.


Subject(s)
HIV Infections , Cross-Sectional Studies , HIV Infections/epidemiology , Humans , Social Networking , Social Stigma , Surveys and Questionnaires
2.
Implement Sci ; 12(1): 34, 2017 03 09.
Article in English | MEDLINE | ID: mdl-28279207

ABSTRACT

BACKGROUND: Incorporating evidence-based integrated treatment for dual disorders into typical care settings has been challenging, especially among those serving Veterans who are homeless. This paper presents an evaluation of an effort to incorporate an evidence-based, dual disorder treatment called Maintaining Independence and Sobriety Through Systems Integration, Outreach, and Networking-Veterans Edition (MISSION-Vet) into case management teams serving Veterans who are homeless, using an implementation strategy called Getting To Outcomes (GTO). METHODS: This Hybrid Type III, cluster-randomized controlled trial assessed the impact of GTO over and above MISSION-Vet Implementation as Usual (IU). Both conditions received standard MISSION-Vet training and manuals. The GTO group received an implementation manual, training, technical assistance, and data feedback. The study occurred in teams at three large VA Medical Centers over 2 years. Within each team, existing sub-teams (case managers and Veterans they serve) were the clusters randomly assigned. The trial assessed MISSION-Vet services delivered and collected via administrative data and implementation barriers and facilitators, via semi-structured interview. RESULTS: No case managers in the IU group initiated MISSION-Vet while 68% in the GTO group did. Seven percent of Veterans with case managers in the GTO group received at least one MISSION-Vet session. Most case managers appreciated the MISSION-Vet materials and felt the GTO planning meetings supported using MISSION-Vet. Case manager interviews also showed that MISSION-Vet could be confusing; there was little involvement from leadership after their initial agreement to participate; the data feedback system had a number of difficulties; and case managers did not have the resources to implement all aspects of MISSION-Vet. CONCLUSIONS: This project shows that GTO-like support can help launch new practices but that multiple implementation facilitators are needed for successful execution of a complex evidence-based program like MISSION-Vet. TRIAL REGISTRATION: ClinicalTrials.gov NCT01430741.


Subject(s)
Evidence-Based Practice/methods , Ill-Housed Persons/statistics & numerical data , Mental Disorders/therapy , Program Evaluation/statistics & numerical data , Substance-Related Disorders/therapy , Veterans/statistics & numerical data , Case Management/statistics & numerical data , Cluster Analysis , Health Plan Implementation/methods , Humans , United States , United States Department of Veterans Affairs
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